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Senior Software Engineer, Backend Development (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US/Taiwan
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Software Engineer, Backend Development (AI): Building scalable backend architecture, AI agents, and machine learning pipelines for personalized recommendation experiences with an accent on cloud-native systems, ML job execution, and low-latency data processing. Focus on designing resilient training and inference workflows, implementing CI/CD, and improving observability and performance across distributed services.

Location: Taipei, Taiwan

Company

hirify.global is an AI-native Agentic AI as a Service company delivering AdTech and MarTech solutions through its Ad Cloud, Personalization Cloud, and Data Cloud.

What you will do

  • Own sizable engineering projects and services within the Enterprise Solution Engineering Product Recommendation team.
  • Architect and implement AI agents, agentic workflows, and personalized recommendation services.
  • Build and optimize machine learning pipelines covering data processing, model serving, training, inference, and post-processing.
  • Design and operate scalable cloud-native architectures using managed services such as GKE, BigQuery, and Pub/Sub.
  • Implement CI/CD pipelines and improve observability, incident management, DevOps practices, and production operating procedures.
  • Lead system design, code reviews, technical guidance, mentoring, performance tuning, and collaboration with Data Scientists and Product Managers.

Requirements

  • 5+ years of software development experience.
  • Proficiency in Python or Go.
  • Experience building web services on Linux and knowledge of REST or GraphQL network API design.
  • Good understanding of SQL and NoSQL databases, including MySQL, MongoDB, or Redis.
  • Proactive approach, strong interpersonal skills, and interest in MarTech and customer-centric product development.
  • Openness to using AI tools such as Copilot to improve coding efficiency.

Nice to have

  • Experience with Infrastructure as Code tools such as Terraform or Helm.
  • Experience developing LLM applications, multi-agent systems, or RAG architectures.
  • Understanding of the machine learning lifecycle and familiarity with LLM orchestration frameworks or vector databases.
  • Experience designing large-scale distributed systems and data-intensive applications.
  • Experience with monitoring and alerting tools such as Prometheus or Grafana.

Culture & Benefits

  • Work alongside engineers and researchers at the forefront of AI innovation.
  • Contribute to products used to transform marketing technology and impact millions of users.
  • Collaborate in an agile, cross-functional environment with engineering, data science, and product teams.

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